{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Analysis for Rationality and Society R and R.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res} 8 Nov 2017, 09:04:38

{com}. ***Analysis for first paper**

. logit punished monthshy catholic class hum_cap urban combattant mths_east i.year

{txt}note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 7 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1568.3174}  
Iteration 1:{space 3}log likelihood = {res:-1509.9123}  
Iteration 2:{space 3}log likelihood = {res:-1505.7857}  
Iteration 3:{space 3}log likelihood = {res:-1505.7573}  
Iteration 4:{space 3}log likelihood = {res:-1505.7573}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,603
{txt}{col 49}LR chi2({res}32{txt}){col 67}= {res}    125.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1505.7573{txt}{col 49}Pseudo R2{col 67}= {res}    0.0399

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0044663{col 26}{space 2} .0018601{col 37}{space 1}   -2.40{col 46}{space 3}0.016{col 54}{space 4}-.0081121{col 67}{space 3}-.0008206
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0617062{col 26}{space 2} .0940886{col 37}{space 1}   -0.66{col 46}{space 3}0.512{col 54}{space 4}-.2461165{col 67}{space 3}  .122704
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1003759{col 26}{space 2} .0691502{col 37}{space 1}   -1.45{col 46}{space 3}0.147{col 54}{space 4}-.2359079{col 67}{space 3} .0351561
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0850524{col 26}{space 2} .0598304{col 37}{space 1}   -1.42{col 46}{space 3}0.155{col 54}{space 4}-.2023178{col 67}{space 3}  .032213
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5329327{col 26}{space 2} .1169395{col 37}{space 1}    4.56{col 46}{space 3}0.000{col 54}{space 4} .3037354{col 67}{space 3} .7621299
{txt}{space 2}combattant {c |}{col 14}{res}{space 2}-.1225779{col 26}{space 2} .1157068{col 37}{space 1}   -1.06{col 46}{space 3}0.289{col 54}{space 4}-.3493592{col 67}{space 3} .1042033
{txt}{space 3}mths_east {c |}{col 14}{res}{space 2} .0107766{col 26}{space 2} .0042906{col 37}{space 1}    2.51{col 46}{space 3}0.012{col 54}{space 4} .0023672{col 67}{space 3} .0191861
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1902  {c |}{col 14}{res}{space 2} .8672897{col 26}{space 2}  1.49337{col 37}{space 1}    0.58{col 46}{space 3}0.561{col 54}{space 4}-2.059662{col 67}{space 3} 3.794242
{txt}{space 7}1903  {c |}{col 14}{res}{space 2} .2354698{col 26}{space 2} 1.469738{col 37}{space 1}    0.16{col 46}{space 3}0.873{col 54}{space 4}-2.645165{col 67}{space 3} 3.116104
{txt}{space 7}1904  {c |}{col 14}{res}{space 2} .7039688{col 26}{space 2}  1.27949{col 37}{space 1}    0.55{col 46}{space 3}0.582{col 54}{space 4}-1.803786{col 67}{space 3} 3.211724
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} .4223989{col 26}{space 2} 1.275512{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-2.077559{col 67}{space 3} 2.922357
{txt}{space 7}1906  {c |}{col 14}{res}{space 2} .2558595{col 26}{space 2} 1.136636{col 37}{space 1}    0.23{col 46}{space 3}0.822{col 54}{space 4}-1.971906{col 67}{space 3} 2.483625
{txt}{space 7}1907  {c |}{col 14}{res}{space 2} .0309144{col 26}{space 2} 1.135261{col 37}{space 1}    0.03{col 46}{space 3}0.978{col 54}{space 4}-2.194156{col 67}{space 3} 2.255985
{txt}{space 7}1908  {c |}{col 14}{res}{space 2} .9489812{col 26}{space 2} 1.069263{col 37}{space 1}    0.89{col 46}{space 3}0.375{col 54}{space 4}-1.146735{col 67}{space 3} 3.044698
{txt}{space 7}1909  {c |}{col 14}{res}{space 2} .6157391{col 26}{space 2} 1.077745{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-1.496603{col 67}{space 3} 2.728081
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} .6893623{col 26}{space 2} 1.057507{col 37}{space 1}    0.65{col 46}{space 3}0.514{col 54}{space 4}-1.383314{col 67}{space 3} 2.762038
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} 1.132587{col 26}{space 2} 1.055865{col 37}{space 1}    1.07{col 46}{space 3}0.283{col 54}{space 4}-.9368695{col 67}{space 3} 3.202044
{txt}{space 7}1912  {c |}{col 14}{res}{space 2}  .726144{col 26}{space 2} 1.060132{col 37}{space 1}    0.68{col 46}{space 3}0.493{col 54}{space 4}-1.351677{col 67}{space 3} 2.803965
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} .6904436{col 26}{space 2}  1.16599{col 37}{space 1}    0.59{col 46}{space 3}0.554{col 54}{space 4}-1.594854{col 67}{space 3} 2.975741
{txt}{space 7}1914  {c |}{col 14}{res}{space 2} 1.978461{col 26}{space 2} 1.073089{col 37}{space 1}    1.84{col 46}{space 3}0.065{col 54}{space 4}-.1247542{col 67}{space 3} 4.081676
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 2.353801{col 26}{space 2} 1.086405{col 37}{space 1}    2.17{col 46}{space 3}0.030{col 54}{space 4} .2244869{col 67}{space 3} 4.483115
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} 1.660808{col 26}{space 2} 1.100217{col 37}{space 1}    1.51{col 46}{space 3}0.131{col 54}{space 4}-.4955772{col 67}{space 3} 3.817194
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} 1.266649{col 26}{space 2}  1.05728{col 37}{space 1}    1.20{col 46}{space 3}0.231{col 54}{space 4}-.8055812{col 67}{space 3} 3.338879
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 1.365738{col 26}{space 2} 1.055474{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-.7029528{col 67}{space 3} 3.434429
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 1.699203{col 26}{space 2} 1.048361{col 37}{space 1}    1.62{col 46}{space 3}0.105{col 54}{space 4}-.3555464{col 67}{space 3} 3.753953
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 1.491273{col 26}{space 2} 1.046554{col 37}{space 1}    1.42{col 46}{space 3}0.154{col 54}{space 4}-.5599352{col 67}{space 3} 3.542482
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 1.452945{col 26}{space 2} 1.051265{col 37}{space 1}    1.38{col 46}{space 3}0.167{col 54}{space 4}-.6074959{col 67}{space 3} 3.513387
{txt}{space 7}1922  {c |}{col 14}{res}{space 2}  1.25429{col 26}{space 2} 1.056274{col 37}{space 1}    1.19{col 46}{space 3}0.235{col 54}{space 4}-.8159695{col 67}{space 3} 3.324549
{txt}{space 7}1923  {c |}{col 14}{res}{space 2} 1.661314{col 26}{space 2}   1.0554{col 37}{space 1}    1.57{col 46}{space 3}0.115{col 54}{space 4}-.4072315{col 67}{space 3}  3.72986
{txt}{space 7}1924  {c |}{col 14}{res}{space 2} 1.198343{col 26}{space 2} 1.060612{col 37}{space 1}    1.13{col 46}{space 3}0.259{col 54}{space 4} -.880419{col 67}{space 3} 3.277105
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 1.228956{col 26}{space 2} 1.068078{col 37}{space 1}    1.15{col 46}{space 3}0.250{col 54}{space 4}-.8644377{col 67}{space 3}  3.32235
{txt}{space 7}1926  {c |}{col 14}{res}{space 2} .4081949{col 26}{space 2} 1.166388{col 37}{space 1}    0.35{col 46}{space 3}0.726{col 54}{space 4}-1.877884{col 67}{space 3} 2.694274
{txt}{space 7}1927  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.819403{col 26}{space 2} 1.065282{col 37}{space 1}   -2.65{col 46}{space 3}0.008{col 54}{space 4}-4.907318{col 67}{space 3}-.7314889
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ***Adding in division fixed effects***

. logit punished monthshy catholic class hum_cap urban combattant mths_east i.division_id

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 22.division_id omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1577.8234}  
Iteration 1:{space 3}log likelihood = {res:-1533.8012}  
Iteration 2:{space 3}log likelihood = {res:-1531.0884}  
Iteration 3:{space 3}log likelihood = {res:-1531.0552}  
Iteration 4:{space 3}log likelihood = {res:-1531.0552}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,639
{txt}{col 49}LR chi2({res}22{txt}){col 67}= {res}     93.54
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1531.0552{txt}{col 49}Pseudo R2{col 67}= {res}    0.0296

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2} -.001987{col 26}{space 2} .0014729{col 37}{space 1}   -1.35{col 46}{space 3}0.177{col 54}{space 4}-.0048738{col 67}{space 3} .0008998
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0448028{col 26}{space 2} .0934362{col 37}{space 1}   -0.48{col 46}{space 3}0.632{col 54}{space 4}-.2279344{col 67}{space 3} .1383287
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1805359{col 26}{space 2} .0687063{col 37}{space 1}   -2.63{col 46}{space 3}0.009{col 54}{space 4}-.3151979{col 67}{space 3} -.045874
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0583863{col 26}{space 2} .0577666{col 37}{space 1}   -1.01{col 46}{space 3}0.312{col 54}{space 4}-.1716067{col 67}{space 3} .0548341
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5154198{col 26}{space 2}  .115419{col 37}{space 1}    4.47{col 46}{space 3}0.000{col 54}{space 4} .2892027{col 67}{space 3}  .741637
{txt}{space 2}combattant {c |}{col 14}{res}{space 2} .0884975{col 26}{space 2}  .187448{col 37}{space 1}    0.47{col 46}{space 3}0.637{col 54}{space 4}-.2788938{col 67}{space 3} .4558889
{txt}{space 3}mths_east {c |}{col 14}{res}{space 2} .5962454{col 26}{space 2} .5217086{col 37}{space 1}    1.14{col 46}{space 3}0.253{col 54}{space 4}-.4262846{col 67}{space 3} 1.618776
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5536039{col 26}{space 2} .5568772{col 37}{space 1}   -0.99{col 46}{space 3}0.320{col 54}{space 4}-1.645063{col 67}{space 3} .5378553
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.819988{col 26}{space 2} 2.602008{col 37}{space 1}    1.08{col 46}{space 3}0.278{col 54}{space 4}-2.279855{col 67}{space 3}  7.91983
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .0619271{col 26}{space 2} .5445422{col 37}{space 1}    0.11{col 46}{space 3}0.909{col 54}{space 4}-1.005356{col 67}{space 3}  1.12921
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.7408342{col 26}{space 2} 1.084585{col 37}{space 1}   -0.68{col 46}{space 3}0.495{col 54}{space 4}-2.866582{col 67}{space 3} 1.384913
{txt}{space 10}8  {c |}{col 14}{res}{space 2}  21.4361{col 26}{space 2} 19.29813{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-16.38753{col 67}{space 3} 59.25973
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 6.546553{col 26}{space 2} 5.210776{col 37}{space 1}    1.26{col 46}{space 3}0.209{col 54}{space 4} -3.66638{col 67}{space 3} 16.75949
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 20.37138{col 26}{space 2} 19.29554{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-17.44717{col 67}{space 3} 58.18994
{txt}{space 9}11  {c |}{col 14}{res}{space 2} 19.42879{col 26}{space 2} 17.73621{col 37}{space 1}    1.10{col 46}{space 3}0.273{col 54}{space 4}-15.33354{col 67}{space 3} 54.19113
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.0500219{col 26}{space 2} .2914323{col 37}{space 1}   -0.17{col 46}{space 3}0.864{col 54}{space 4}-.6212188{col 67}{space 3} .5211749
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2} 21.38177{col 26}{space 2} 18.77287{col 37}{space 1}    1.14{col 46}{space 3}0.255{col 54}{space 4}-15.41238{col 67}{space 3} 58.17592
{txt}{space 9}16  {c |}{col 14}{res}{space 2}  -.96948{col 26}{space 2} .5700469{col 37}{space 1}   -1.70{col 46}{space 3}0.089{col 54}{space 4}-2.086751{col 67}{space 3} .1477914
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-1.870815{col 26}{space 2} 1.624664{col 37}{space 1}   -1.15{col 46}{space 3}0.250{col 54}{space 4}-5.055099{col 67}{space 3} 1.313468
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-5.889201{col 26}{space 2} 5.236878{col 37}{space 1}   -1.12{col 46}{space 3}0.261{col 54}{space 4}-16.15329{col 67}{space 3} 4.374891
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 17.38158{col 26}{space 2} 15.64499{col 37}{space 1}    1.11{col 46}{space 3}0.267{col 54}{space 4}-13.28203{col 67}{space 3} 48.04519
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 12.61378{col 26}{space 2} 11.46734{col 37}{space 1}    1.10{col 46}{space 3}0.271{col 54}{space 4}-9.861787{col 67}{space 3} 35.08935
{txt}{space 9}22  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-23.22536{col 26}{space 2} 19.29827{col 37}{space 1}   -1.20{col 46}{space 3}0.229{col 54}{space 4}-61.04928{col 67}{space 3} 14.59856
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ***Adding in division fixed effects and birth year fixed effects***

. logit punished monthshy catholic class hum_cap urban combattant mths_east i.division_id i.year

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 7 obs not used

note: 22.division_id omitted because of collinearity
{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1567.4606}  
Iteration 1:{space 3}log likelihood = {res:-1495.8148}  
Iteration 2:{space 3}log likelihood = {res:-1489.7901}  
Iteration 3:{space 3}log likelihood = {res:-1489.7236}  
Iteration 4:{space 3}log likelihood = {res:-1489.7235}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,598
{txt}{col 49}LR chi2({res}47{txt}){col 67}= {res}    155.47
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1489.7235{txt}{col 49}Pseudo R2{col 67}= {res}    0.0496

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0045622{col 26}{space 2} .0018745{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-.0082362{col 67}{space 3}-.0008882
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0652972{col 26}{space 2}  .095291{col 37}{space 1}   -0.69{col 46}{space 3}0.493{col 54}{space 4}-.2520643{col 67}{space 3} .1214698
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1081415{col 26}{space 2} .0706569{col 37}{space 1}   -1.53{col 46}{space 3}0.126{col 54}{space 4}-.2466264{col 67}{space 3} .0303435
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0769387{col 26}{space 2} .0600149{col 37}{space 1}   -1.28{col 46}{space 3}0.200{col 54}{space 4}-.1945657{col 67}{space 3} .0406883
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5267692{col 26}{space 2} .1180458{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .2954038{col 67}{space 3} .7581347
{txt}{space 2}combattant {c |}{col 14}{res}{space 2}-.0656788{col 26}{space 2} .1966435{col 37}{space 1}   -0.33{col 46}{space 3}0.738{col 54}{space 4} -.451093{col 67}{space 3} .3197353
{txt}{space 3}mths_east {c |}{col 14}{res}{space 2} .4568936{col 26}{space 2} .5273997{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.5767908{col 67}{space 3} 1.490578
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.5197194{col 26}{space 2} .5633241{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-1.623814{col 67}{space 3} .5843756
{txt}{space 10}3  {c |}{col 14}{res}{space 2} 2.016156{col 26}{space 2} 2.630401{col 37}{space 1}    0.77{col 46}{space 3}0.443{col 54}{space 4}-3.139335{col 67}{space 3} 7.171646
{txt}{space 10}4  {c |}{col 14}{res}{space 2} -.071309{col 26}{space 2} .5514808{col 37}{space 1}   -0.13{col 46}{space 3}0.897{col 54}{space 4}-1.152192{col 67}{space 3} 1.009574
{txt}{space 10}7  {c |}{col 14}{res}{space 2}-.6301615{col 26}{space 2} 1.097084{col 37}{space 1}   -0.57{col 46}{space 3}0.566{col 54}{space 4}-2.780408{col 67}{space 3} 1.520084
{txt}{space 10}8  {c |}{col 14}{res}{space 2} 16.41447{col 26}{space 2}  19.5066{col 37}{space 1}    0.84{col 46}{space 3}0.400{col 54}{space 4}-21.81776{col 67}{space 3}  54.6467
{txt}{space 10}9  {c |}{col 14}{res}{space 2} 5.141516{col 26}{space 2} 5.268207{col 37}{space 1}    0.98{col 46}{space 3}0.329{col 54}{space 4}-5.183979{col 67}{space 3} 15.46701
{txt}{space 9}10  {c |}{col 14}{res}{space 2} 15.58274{col 26}{space 2} 19.50482{col 37}{space 1}    0.80{col 46}{space 3}0.424{col 54}{space 4}-22.64601{col 67}{space 3} 53.81149
{txt}{space 9}11  {c |}{col 14}{res}{space 2}  14.7613{col 26}{space 2} 17.92838{col 37}{space 1}    0.82{col 46}{space 3}0.410{col 54}{space 4}-20.37768{col 67}{space 3} 49.90028
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2789178{col 26}{space 2} .3022967{col 37}{space 1}   -0.92{col 46}{space 3}0.356{col 54}{space 4}-.8714086{col 67}{space 3} .3135729
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2} 16.29737{col 26}{space 2} 18.97782{col 37}{space 1}    0.86{col 46}{space 3}0.390{col 54}{space 4}-20.89847{col 67}{space 3} 53.49321
{txt}{space 9}16  {c |}{col 14}{res}{space 2} -.728701{col 26}{space 2} .5794562{col 37}{space 1}   -1.26{col 46}{space 3}0.209{col 54}{space 4}-1.864414{col 67}{space 3} .4070122
{txt}{space 9}17  {c |}{col 14}{res}{space 2}-1.353909{col 26}{space 2}  1.64418{col 37}{space 1}   -0.82{col 46}{space 3}0.410{col 54}{space 4}-4.576442{col 67}{space 3} 1.868625
{txt}{space 9}18  {c |}{col 14}{res}{space 2}-4.541363{col 26}{space 2} 5.293823{col 37}{space 1}   -0.86{col 46}{space 3}0.391{col 54}{space 4}-14.91706{col 67}{space 3} 5.834339
{txt}{space 9}19  {c |}{col 14}{res}{space 2} 13.27155{col 26}{space 2} 15.81722{col 37}{space 1}    0.84{col 46}{space 3}0.401{col 54}{space 4}-17.72964{col 67}{space 3} 44.27273
{txt}{space 9}20  {c |}{col 14}{res}{space 2} 9.627872{col 26}{space 2} 11.58967{col 37}{space 1}    0.83{col 46}{space 3}0.406{col 54}{space 4}-13.08745{col 67}{space 3}  32.3432
{txt}{space 9}22  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (omitted)
{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1902  {c |}{col 14}{res}{space 2} 1.070993{col 26}{space 2} 1.509079{col 37}{space 1}    0.71{col 46}{space 3}0.478{col 54}{space 4}-1.886749{col 67}{space 3} 4.028734
{txt}{space 7}1903  {c |}{col 14}{res}{space 2} .3274506{col 26}{space 2} 1.479584{col 37}{space 1}    0.22{col 46}{space 3}0.825{col 54}{space 4} -2.57248{col 67}{space 3} 3.227382
{txt}{space 7}1904  {c |}{col 14}{res}{space 2} .6537121{col 26}{space 2} 1.289144{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-1.872963{col 67}{space 3} 3.180387
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} .4245852{col 26}{space 2} 1.285308{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-2.094573{col 67}{space 3} 2.943743
{txt}{space 7}1906  {c |}{col 14}{res}{space 2} .2777414{col 26}{space 2} 1.146693{col 37}{space 1}    0.24{col 46}{space 3}0.809{col 54}{space 4}-1.969735{col 67}{space 3} 2.525218
{txt}{space 7}1907  {c |}{col 14}{res}{space 2} .0573992{col 26}{space 2} 1.145848{col 37}{space 1}    0.05{col 46}{space 3}0.960{col 54}{space 4}-2.188421{col 67}{space 3} 2.303219
{txt}{space 7}1908  {c |}{col 14}{res}{space 2} .9328367{col 26}{space 2} 1.080292{col 37}{space 1}    0.86{col 46}{space 3}0.388{col 54}{space 4}-1.184496{col 67}{space 3}  3.05017
{txt}{space 7}1909  {c |}{col 14}{res}{space 2} .5746664{col 26}{space 2} 1.088456{col 37}{space 1}    0.53{col 46}{space 3}0.598{col 54}{space 4}-1.558668{col 67}{space 3}    2.708
{txt}{space 7}1910  {c |}{col 14}{res}{space 2}  .627511{col 26}{space 2} 1.067008{col 37}{space 1}    0.59{col 46}{space 3}0.556{col 54}{space 4}-1.463786{col 67}{space 3} 2.718808
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} 1.006511{col 26}{space 2} 1.067138{col 37}{space 1}    0.94{col 46}{space 3}0.346{col 54}{space 4}-1.085041{col 67}{space 3} 3.098064
{txt}{space 7}1912  {c |}{col 14}{res}{space 2} .6450132{col 26}{space 2} 1.071434{col 37}{space 1}    0.60{col 46}{space 3}0.547{col 54}{space 4} -1.45496{col 67}{space 3} 2.744986
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} .5245458{col 26}{space 2} 1.177993{col 37}{space 1}    0.45{col 46}{space 3}0.656{col 54}{space 4}-1.784279{col 67}{space 3}  2.83337
{txt}{space 7}1914  {c |}{col 14}{res}{space 2} 1.865554{col 26}{space 2} 1.085302{col 37}{space 1}    1.72{col 46}{space 3}0.086{col 54}{space 4}-.2615985{col 67}{space 3} 3.992707
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 2.235184{col 26}{space 2} 1.098536{col 37}{space 1}    2.03{col 46}{space 3}0.042{col 54}{space 4} .0820929{col 67}{space 3} 4.388274
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} 1.553322{col 26}{space 2} 1.113289{col 37}{space 1}    1.40{col 46}{space 3}0.163{col 54}{space 4}-.6286846{col 67}{space 3} 3.735329
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} 1.147957{col 26}{space 2} 1.070513{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.9502102{col 67}{space 3} 3.246124
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 1.259546{col 26}{space 2} 1.067584{col 37}{space 1}    1.18{col 46}{space 3}0.238{col 54}{space 4}-.8328806{col 67}{space 3} 3.351972
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 1.582506{col 26}{space 2} 1.059628{col 37}{space 1}    1.49{col 46}{space 3}0.135{col 54}{space 4}-.4943269{col 67}{space 3}  3.65934
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 1.388338{col 26}{space 2}  1.05868{col 37}{space 1}    1.31{col 46}{space 3}0.190{col 54}{space 4}-.6866377{col 67}{space 3} 3.463313
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 1.341633{col 26}{space 2} 1.063447{col 37}{space 1}    1.26{col 46}{space 3}0.207{col 54}{space 4}-.7426843{col 67}{space 3} 3.425951
{txt}{space 7}1922  {c |}{col 14}{res}{space 2} 1.258055{col 26}{space 2} 1.069063{col 37}{space 1}    1.18{col 46}{space 3}0.239{col 54}{space 4}-.8372704{col 67}{space 3} 3.353381
{txt}{space 7}1923  {c |}{col 14}{res}{space 2}  1.60746{col 26}{space 2} 1.068513{col 37}{space 1}    1.50{col 46}{space 3}0.132{col 54}{space 4}-.4867859{col 67}{space 3} 3.701706
{txt}{space 7}1924  {c |}{col 14}{res}{space 2}  1.15163{col 26}{space 2} 1.074018{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4}-.9534058{col 67}{space 3} 3.256666
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 1.288982{col 26}{space 2} 1.080108{col 37}{space 1}    1.19{col 46}{space 3}0.233{col 54}{space 4}-.8279917{col 67}{space 3} 3.405955
{txt}{space 7}1926  {c |}{col 14}{res}{space 2}  .524378{col 26}{space 2} 1.182486{col 37}{space 1}    0.44{col 46}{space 3}0.657{col 54}{space 4}-1.793252{col 67}{space 3} 2.842008
{txt}{space 7}1927  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-19.15932{col 26}{space 2} 19.53698{col 37}{space 1}   -0.98{col 46}{space 3}0.327{col 54}{space 4}-57.45109{col 67}{space 3} 19.13246
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ***Adding these in and taking out the months hy and combat unit variables***

. logit punished monthshy catholic class hum_cap urban i.division_id i.year

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 7 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1567.4606}  
Iteration 1:{space 3}log likelihood = {res:-1495.8649}  
Iteration 2:{space 3}log likelihood = {res:-1489.8458}  
Iteration 3:{space 3}log likelihood = {res:-1489.7792}  
Iteration 4:{space 3}log likelihood = {res:-1489.7792}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,598
{txt}{col 49}LR chi2({res}46{txt}){col 67}= {res}    155.36
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1489.7792{txt}{col 49}Pseudo R2{col 67}= {res}    0.0496

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0045542{col 26}{space 2} .0018745{col 37}{space 1}   -2.43{col 46}{space 3}0.015{col 54}{space 4}-.0082281{col 67}{space 3}-.0008803
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0659662{col 26}{space 2} .0952663{col 37}{space 1}   -0.69{col 46}{space 3}0.489{col 54}{space 4}-.2526847{col 67}{space 3} .1207523
{txt}{space 7}class {c |}{col 14}{res}{space 2} -.106706{col 26}{space 2}  .070513{col 37}{space 1}   -1.51{col 46}{space 3}0.130{col 54}{space 4}-.2449088{col 67}{space 3} .0314969
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0758551{col 26}{space 2} .0599106{col 37}{space 1}   -1.27{col 46}{space 3}0.205{col 54}{space 4}-.1932777{col 67}{space 3} .0415675
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5265422{col 26}{space 2} .1180474{col 37}{space 1}    4.46{col 46}{space 3}0.000{col 54}{space 4} .2951735{col 67}{space 3} .7579109
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0725699{col 26}{space 2}  .159845{col 37}{space 1}   -0.45{col 46}{space 3}0.650{col 54}{space 4}-.3858605{col 67}{space 3} .2407206
{txt}{space 10}3  {c |}{col 14}{res}{space 2} -.278593{col 26}{space 2} .1798387{col 37}{space 1}   -1.55{col 46}{space 3}0.121{col 54}{space 4}-.6310703{col 67}{space 3} .0738843
{txt}{space 10}4  {c |}{col 14}{res}{space 2}-.5381972{col 26}{space 2} .1958261{col 37}{space 1}   -2.75{col 46}{space 3}0.006{col 54}{space 4}-.9220093{col 67}{space 3}-.1543851
{txt}{space 10}7  {c |}{col 14}{res}{space 2} .3392345{col 26}{space 2} .2285676{col 37}{space 1}    1.48{col 46}{space 3}0.138{col 54}{space 4}-.1087497{col 67}{space 3} .7872187
{txt}{space 10}8  {c |}{col 14}{res}{space 2}-.5016013{col 26}{space 2}  .548339{col 37}{space 1}   -0.91{col 46}{space 3}0.360{col 54}{space 4}-1.576326{col 67}{space 3} .5731234
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .5612047{col 26}{space 2} .2615543{col 37}{space 1}    2.15{col 46}{space 3}0.032{col 54}{space 4} .0485677{col 67}{space 3} 1.073842
{txt}{space 9}10  {c |}{col 14}{res}{space 2}-1.332936{col 26}{space 2} .4411876{col 37}{space 1}   -3.02{col 46}{space 3}0.003{col 54}{space 4}-2.197648{col 67}{space 3}-.4682243
{txt}{space 9}11  {c |}{col 14}{res}{space 2}-.7843422{col 26}{space 2} .6255408{col 37}{space 1}   -1.25{col 46}{space 3}0.210{col 54}{space 4} -2.01038{col 67}{space 3} .4416952
{txt}{space 9}12  {c |}{col 14}{res}{space 2}-.2234124{col 26}{space 2}  .252797{col 37}{space 1}   -0.88{col 46}{space 3}0.377{col 54}{space 4}-.7188855{col 67}{space 3} .2720606
{txt}{space 9}14  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 9}15  {c |}{col 14}{res}{space 2}-.1377526{col 26}{space 2} .2638673{col 37}{space 1}   -0.52{col 46}{space 3}0.602{col 54}{space 4}-.6549231{col 67}{space 3} .3794178
{txt}{space 9}16  {c |}{col 14}{res}{space 2} -.239094{col 26}{space 2} .1950222{col 37}{space 1}   -1.23{col 46}{space 3}0.220{col 54}{space 4}-.6213305{col 67}{space 3} .1431426
{txt}{space 9}17  {c |}{col 14}{res}{space 2} .0051934{col 26}{space 2} .3987223{col 37}{space 1}    0.01{col 46}{space 3}0.990{col 54}{space 4}-.7762879{col 67}{space 3} .7866748
{txt}{space 9}18  {c |}{col 14}{res}{space 2} .0170053{col 26}{space 2} .2791946{col 37}{space 1}    0.06{col 46}{space 3}0.951{col 54}{space 4} -.530206{col 67}{space 3} .5642166
{txt}{space 9}19  {c |}{col 14}{res}{space 2}-.4107835{col 26}{space 2} .3245253{col 37}{space 1}   -1.27{col 46}{space 3}0.206{col 54}{space 4}-1.046841{col 67}{space 3} .2252744
{txt}{space 9}20  {c |}{col 14}{res}{space 2}-.4348215{col 26}{space 2} .2418597{col 37}{space 1}   -1.80{col 46}{space 3}0.072{col 54}{space 4}-.9088577{col 67}{space 3} .0392148
{txt}{space 9}22  {c |}{col 14}{res}{space 2}-.9276568{col 26}{space 2} 1.054014{col 37}{space 1}   -0.88{col 46}{space 3}0.379{col 54}{space 4}-2.993487{col 67}{space 3} 1.138173
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 7}1902  {c |}{col 14}{res}{space 2} 1.066855{col 26}{space 2} 1.509107{col 37}{space 1}    0.71{col 46}{space 3}0.480{col 54}{space 4} -1.89094{col 67}{space 3} 4.024651
{txt}{space 7}1903  {c |}{col 14}{res}{space 2}  .330931{col 26}{space 2}  1.47968{col 37}{space 1}    0.22{col 46}{space 3}0.823{col 54}{space 4}-2.569189{col 67}{space 3} 3.231051
{txt}{space 7}1904  {c |}{col 14}{res}{space 2} .6534387{col 26}{space 2} 1.289407{col 37}{space 1}    0.51{col 46}{space 3}0.612{col 54}{space 4}-1.873752{col 67}{space 3} 3.180629
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} .4246027{col 26}{space 2} 1.285471{col 37}{space 1}    0.33{col 46}{space 3}0.741{col 54}{space 4}-2.094874{col 67}{space 3} 2.944079
{txt}{space 7}1906  {c |}{col 14}{res}{space 2} .2614299{col 26}{space 2} 1.145876{col 37}{space 1}    0.23{col 46}{space 3}0.820{col 54}{space 4}-1.984447{col 67}{space 3} 2.507306
{txt}{space 7}1907  {c |}{col 14}{res}{space 2}  .038615{col 26}{space 2} 1.144668{col 37}{space 1}    0.03{col 46}{space 3}0.973{col 54}{space 4}-2.204893{col 67}{space 3} 2.282122
{txt}{space 7}1908  {c |}{col 14}{res}{space 2} .9192937{col 26}{space 2} 1.079746{col 37}{space 1}    0.85{col 46}{space 3}0.395{col 54}{space 4}-1.196969{col 67}{space 3} 3.035557
{txt}{space 7}1909  {c |}{col 14}{res}{space 2} .5597128{col 26}{space 2} 1.087744{col 37}{space 1}    0.51{col 46}{space 3}0.607{col 54}{space 4}-1.572227{col 67}{space 3} 2.691652
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} .6088153{col 26}{space 2} 1.065736{col 37}{space 1}    0.57{col 46}{space 3}0.568{col 54}{space 4}-1.479989{col 67}{space 3} 2.697619
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} .9889282{col 26}{space 2} 1.066043{col 37}{space 1}    0.93{col 46}{space 3}0.354{col 54}{space 4}-1.100477{col 67}{space 3} 3.078334
{txt}{space 7}1912  {c |}{col 14}{res}{space 2} .6257249{col 26}{space 2} 1.070076{col 37}{space 1}    0.58{col 46}{space 3}0.559{col 54}{space 4}-1.471585{col 67}{space 3} 2.723035
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} .5138512{col 26}{space 2} 1.177744{col 37}{space 1}    0.44{col 46}{space 3}0.663{col 54}{space 4}-1.794486{col 67}{space 3} 2.822188
{txt}{space 7}1914  {c |}{col 14}{res}{space 2}  1.84545{col 26}{space 2} 1.083839{col 37}{space 1}    1.70{col 46}{space 3}0.089{col 54}{space 4} -.278835{col 67}{space 3} 3.969735
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 2.216024{col 26}{space 2} 1.097217{col 37}{space 1}    2.02{col 46}{space 3}0.043{col 54}{space 4} .0655189{col 67}{space 3} 4.366529
{txt}{space 7}1916  {c |}{col 14}{res}{space 2} 1.531517{col 26}{space 2} 1.111571{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.6471216{col 67}{space 3} 3.710156
{txt}{space 7}1917  {c |}{col 14}{res}{space 2} 1.124589{col 26}{space 2} 1.068412{col 37}{space 1}    1.05{col 46}{space 3}0.293{col 54}{space 4}-.9694601{col 67}{space 3} 3.218638
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 1.241234{col 26}{space 2} 1.066401{col 37}{space 1}    1.16{col 46}{space 3}0.244{col 54}{space 4}-.8488744{col 67}{space 3} 3.331342
{txt}{space 7}1919  {c |}{col 14}{res}{space 2}  1.56182{col 26}{space 2} 1.058005{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.5118314{col 67}{space 3} 3.635471
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 1.368584{col 26}{space 2} 1.057236{col 37}{space 1}    1.29{col 46}{space 3}0.195{col 54}{space 4}-.7035595{col 67}{space 3} 3.440728
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 1.322325{col 26}{space 2} 1.062072{col 37}{space 1}    1.25{col 46}{space 3}0.213{col 54}{space 4}-.7592971{col 67}{space 3} 3.403948
{txt}{space 7}1922  {c |}{col 14}{res}{space 2} 1.238814{col 26}{space 2} 1.067698{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.8538349{col 67}{space 3} 3.331463
{txt}{space 7}1923  {c |}{col 14}{res}{space 2} 1.587987{col 26}{space 2} 1.067114{col 37}{space 1}    1.49{col 46}{space 3}0.137{col 54}{space 4} -.503518{col 67}{space 3} 3.679493
{txt}{space 7}1924  {c |}{col 14}{res}{space 2} 1.131214{col 26}{space 2} 1.072479{col 37}{space 1}    1.05{col 46}{space 3}0.292{col 54}{space 4}-.9708056{col 67}{space 3} 3.233233
{txt}{space 7}1925  {c |}{col 14}{res}{space 2} 1.267776{col 26}{space 2} 1.078413{col 37}{space 1}    1.18{col 46}{space 3}0.240{col 54}{space 4}-.8458737{col 67}{space 3} 3.381426
{txt}{space 7}1926  {c |}{col 14}{res}{space 2} .5019648{col 26}{space 2} 1.180704{col 37}{space 1}    0.43{col 46}{space 3}0.671{col 54}{space 4}-1.812172{col 67}{space 3} 2.816102
{txt}{space 7}1927  {c |}{col 14}{res}{space 2}        0{col 26}{txt}  (empty)
{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.294284{col 26}{space 2} 1.066725{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-4.385026{col 67}{space 3}-.2035417
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ***Hitler Youth Membership as a binary variable**

. logit punished hj catholic class hum_cap urban i.division_id i.year

{txt}note: 14.division_id != 0 predicts failure perfectly
      14.division_id dropped and 5 obs not used

note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 8 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1577.5947}  
Iteration 1:{space 3}log likelihood = {res:-1504.2248}  
Iteration 2:{space 3}log likelihood = {res:-1498.0874}  
Iteration 3:{space 3}log likelihood = {res:-1498.0183}  
Iteration 4:{space 3}log likelihood = {res:-1498.0182}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,618
{txt}{col 49}LR chi2({res}46{txt}){col 67}= {res}    159.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-1498.0182{txt}{col 49}Pseudo R2{col 67}= {res}    0.0504

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 10}hj {c |}{col 14}{res}{space 2}-.3800532{col 26}{space 2} .1207549{col 37}{space 1}   -3.15{col 46}{space 3}0.002{col 54}{space 4}-.6167286{col 67}{space 3}-.1433779
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0637222{col 26}{space 2} .0949186{col 37}{space 1}   -0.67{col 46}{space 3}0.502{col 54}{space 4}-.2497593{col 67}{space 3} .1223149
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1083561{col 26}{space 2} .0702723{col 37}{space 1}   -1.54{col 46}{space 3}0.123{col 54}{space 4}-.2460873{col 67}{space 3} .0293751
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0729389{col 26}{space 2} .0597256{col 37}{space 1}   -1.22{col 46}{space 3}0.222{col 54}{space 4} -.189999{col 67}{space 3} .0441211
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5292799{col 26}{space 2} .1177186{col 37}{space 1}    4.50{col 46}{space 3}0.000{col 54}{space 4} .2985557{col 67}{space 3} .7600041
{txt}{space 12} {c |}
{space 1}division_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2}-.0457565{col 26}{space 2} .1590178{col 37}{space 1}   -0.29{col 46}{space 3}0.774{col 54}{space 4}-.3574257{col 67}{space 3} .2659127
{txt}{space 10}3  {c |}{col 14}{res}{space 2}-.2759284{col 26}{space 2} .1797811{col 37}{space 1}   -1.53{col 46}{space 3}0.125{col 54}{space 4}-.6282928{col 67}{space 3} .0764361
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{txt}{space 12} {c |}
{space 8}year {c |}
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{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2}-2.294487{col 26}{space 2} 1.066697{col 37}{space 1}   -2.15{col 46}{space 3}0.031{col 54}{space 4}-4.385176{col 67}{space 3} -.203799
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. **Worst punishments***

. ologit worstpunishment monthshy catholic class hum_cap urban i.division_id i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2207.5806}  
Iteration 1:{space 3}log likelihood = {res:-2132.0803}  
Iteration 2:{space 3}log likelihood = {res:-2122.9103}  
Iteration 3:{space 3}log likelihood = {res:-2122.4036}  
Iteration 4:{space 3}log likelihood = {res:-2122.3028}  
Iteration 5:{space 3}log likelihood = {res:-2122.2812}  
Iteration 6:{space 3}log likelihood = {res:-2122.2768}  
Iteration 7:{space 3}log likelihood = {res:-2122.2758}  
Iteration 8:{space 3}log likelihood = {res:-2122.2755}  
Iteration 9:{space 3}log likelihood = {res:-2122.2755}  
Iteration 10:{space 2}log likelihood = {res:-2122.2755}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,626
{txt}{col 49}LR chi2({res}49{txt}){col 67}= {res}    170.61
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}-2122.2755{txt}{col 49}Pseudo R2{col 67}= {res}    0.0386

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 7}monthshy {c |}{col 17}{res}{space 2}-.0046967{col 29}{space 2} .0019046{col 40}{space 1}   -2.47{col 49}{space 3}0.014{col 57}{space 4}-.0084296{col 70}{space 3}-.0009638
{txt}{space 7}catholic {c |}{col 17}{res}{space 2}-.1058628{col 29}{space 2} .0969277{col 40}{space 1}   -1.09{col 49}{space 3}0.275{col 57}{space 4}-.2958376{col 70}{space 3}  .084112
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{txt}{space 15} {c |}
{space 4}division_id {c |}
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{txt}{space 15} {c |}
{space 11}year {c |}
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{txt}{space 10}1925  {c |}{col 17}{res}{space 2} 1.250715{col 29}{space 2} 1.077543{col 40}{space 1}    1.16{col 49}{space 3}0.246{col 57}{space 4}-.8612297{col 70}{space 3}  3.36266
{txt}{space 10}1926  {c |}{col 17}{res}{space 2} .5560228{col 29}{space 2} 1.179541{col 40}{space 1}    0.47{col 49}{space 3}0.637{col 57}{space 4}-1.755835{col 70}{space 3} 2.867881
{txt}{space 10}1927  {c |}{col 17}{res}{space 2}-11.74324{col 29}{space 2} 1353.408{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-2664.375{col 70}{space 3} 2640.889
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 2.235781{col 29}{space 2} 1.065228{col 57}{space 4} .1479724{col 70}{space 3}  4.32359
{txt}          /cut2 {c |}{col 17}{res}{space 2} 2.311073{col 29}{space 2} 1.065289{col 57}{space 4} .2231453{col 70}{space 3}    4.399
{txt}          /cut3 {c |}{col 17}{res}{space 2}   2.3305{col 29}{space 2} 1.065304{col 57}{space 4} .2425421{col 70}{space 3} 4.418459
{txt}          /cut4 {c |}{col 17}{res}{space 2} 2.335395{col 29}{space 2} 1.065308{col 57}{space 4} .2474286{col 70}{space 3} 4.423361
{txt}          /cut5 {c |}{col 17}{res}{space 2} 2.434041{col 29}{space 2} 1.065388{col 57}{space 4} .3459199{col 70}{space 3} 4.522163
{txt}          /cut6 {c |}{col 17}{res}{space 2} 2.441896{col 29}{space 2} 1.065394{col 57}{space 4} .3537627{col 70}{space 3}  4.53003
{txt}          /cut7 {c |}{col 17}{res}{space 2} 2.509003{col 29}{space 2} 1.065448{col 57}{space 4} .4207637{col 70}{space 3} 4.597241
{txt}          /cut8 {c |}{col 17}{res}{space 2} 4.328453{col 29}{space 2} 1.070193{col 57}{space 4} 2.230912{col 70}{space 3} 6.425994
{txt}          /cut9 {c |}{col 17}{res}{space 2} 4.769646{col 29}{space 2}  1.07335{col 57}{space 4} 2.665918{col 70}{space 3} 6.873374
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 28 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. ologit worstpunishment hj catholic class hum_cap urban i.division_id i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2223.4521}  
Iteration 1:{space 3}log likelihood = {res:-2146.3571}  
Iteration 2:{space 3}log likelihood = {res:-2137.0072}  
Iteration 3:{space 3}log likelihood = {res:-2136.4829}  
Iteration 4:{space 3}log likelihood = {res:-2136.3782}  
Iteration 5:{space 3}log likelihood = {res:-2136.3559}  
Iteration 6:{space 3}log likelihood = {res:-2136.3514}  
Iteration 7:{space 3}log likelihood = {res:-2136.3503}  
Iteration 8:{space 3}log likelihood = {res:-2136.3501}  
Iteration 9:{space 3}log likelihood = {res:  -2136.35}  
Iteration 10:{space 2}log likelihood = {res:  -2136.35}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,647
{txt}{col 49}LR chi2({res}49{txt}){col 67}= {res}    174.20
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res}  -2136.35{txt}{col 49}Pseudo R2{col 67}= {res}    0.0392

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}hj {c |}{col 17}{res}{space 2}-.3798027{col 29}{space 2} .1223262{col 40}{space 1}   -3.10{col 49}{space 3}0.002{col 57}{space 4}-.6195578{col 70}{space 3}-.1400477
{txt}{space 7}catholic {c |}{col 17}{res}{space 2}-.1024826{col 29}{space 2} .0965381{col 40}{space 1}   -1.06{col 49}{space 3}0.288{col 57}{space 4}-.2916937{col 70}{space 3} .0867285
{txt}{space 10}class {c |}{col 17}{res}{space 2}-.1217154{col 29}{space 2} .0723131{col 40}{space 1}   -1.68{col 49}{space 3}0.092{col 57}{space 4}-.2634464{col 70}{space 3} .0200157
{txt}{space 8}hum_cap {c |}{col 17}{res}{space 2}-.0730101{col 29}{space 2} .0607031{col 40}{space 1}   -1.20{col 49}{space 3}0.229{col 57}{space 4} -.191986{col 70}{space 3} .0459657
{txt}{space 10}urban {c |}{col 17}{res}{space 2} .4915503{col 29}{space 2}  .119131{col 40}{space 1}    4.13{col 49}{space 3}0.000{col 57}{space 4} .2580578{col 70}{space 3} .7250428
{txt}{space 15} {c |}
{space 4}division_id {c |}
{space 13}2  {c |}{col 17}{res}{space 2}-.0390029{col 29}{space 2} .1612323{col 40}{space 1}   -0.24{col 49}{space 3}0.809{col 57}{space 4}-.3550124{col 70}{space 3} .2770066
{txt}{space 13}3  {c |}{col 17}{res}{space 2}-.2945932{col 29}{space 2} .1828323{col 40}{space 1}   -1.61{col 49}{space 3}0.107{col 57}{space 4}-.6529379{col 70}{space 3} .0637515
{txt}{space 13}4  {c |}{col 17}{res}{space 2}-.5662403{col 29}{space 2} .2016856{col 40}{space 1}   -2.81{col 49}{space 3}0.005{col 57}{space 4}-.9615368{col 70}{space 3}-.1709437
{txt}{space 13}7  {c |}{col 17}{res}{space 2} .3467291{col 29}{space 2} .2281817{col 40}{space 1}    1.52{col 49}{space 3}0.129{col 57}{space 4}-.1004988{col 70}{space 3} .7939569
{txt}{space 13}8  {c |}{col 17}{res}{space 2}-.7497508{col 29}{space 2} .6213077{col 40}{space 1}   -1.21{col 49}{space 3}0.228{col 57}{space 4}-1.967491{col 70}{space 3} .4679899
{txt}{space 13}9  {c |}{col 17}{res}{space 2} .5439464{col 29}{space 2} .2613513{col 40}{space 1}    2.08{col 49}{space 3}0.037{col 57}{space 4} .0317074{col 70}{space 3} 1.056185
{txt}{space 12}10  {c |}{col 17}{res}{space 2}-1.704476{col 29}{space 2} .5279882{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-2.739314{col 70}{space 3}-.6696382
{txt}{space 12}11  {c |}{col 17}{res}{space 2}-.7620478{col 29}{space 2} .6247775{col 40}{space 1}   -1.22{col 49}{space 3}0.223{col 57}{space 4}-1.986589{col 70}{space 3} .4624937
{txt}{space 12}12  {c |}{col 17}{res}{space 2}-.1534412{col 29}{space 2} .2522587{col 40}{space 1}   -0.61{col 49}{space 3}0.543{col 57}{space 4}-.6478592{col 70}{space 3} .3409767
{txt}{space 12}14  {c |}{col 17}{res}{space 2}-14.60225{col 29}{space 2} 1601.374{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-3153.238{col 70}{space 3} 3124.034
{txt}{space 12}15  {c |}{col 17}{res}{space 2}-.2136831{col 29}{space 2} .2722285{col 40}{space 1}   -0.78{col 49}{space 3}0.432{col 57}{space 4}-.7472412{col 70}{space 3}  .319875
{txt}{space 12}16  {c |}{col 17}{res}{space 2}-.1993971{col 29}{space 2} .1966432{col 40}{space 1}   -1.01{col 49}{space 3}0.311{col 57}{space 4}-.5848106{col 70}{space 3} .1860165
{txt}{space 12}17  {c |}{col 17}{res}{space 2} .0253922{col 29}{space 2} .3943705{col 40}{space 1}    0.06{col 49}{space 3}0.949{col 57}{space 4}-.7475599{col 70}{space 3} .7983442
{txt}{space 12}18  {c |}{col 17}{res}{space 2} .0252635{col 29}{space 2} .2773188{col 40}{space 1}    0.09{col 49}{space 3}0.927{col 57}{space 4}-.5182714{col 70}{space 3} .5687984
{txt}{space 12}19  {c |}{col 17}{res}{space 2}-.3467546{col 29}{space 2} .3247858{col 40}{space 1}   -1.07{col 49}{space 3}0.286{col 57}{space 4} -.983323{col 70}{space 3} .2898138
{txt}{space 12}20  {c |}{col 17}{res}{space 2}-.4140917{col 29}{space 2} .2448312{col 40}{space 1}   -1.69{col 49}{space 3}0.091{col 57}{space 4} -.893952{col 70}{space 3} .0657686
{txt}{space 12}22  {c |}{col 17}{res}{space 2} -.894786{col 29}{space 2}  1.05264{col 40}{space 1}   -0.85{col 49}{space 3}0.395{col 57}{space 4}-2.957922{col 70}{space 3}  1.16835
{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1901  {c |}{col 17}{res}{space 2}-13.64597{col 29}{space 2} 890.6596{col 40}{space 1}   -0.02{col 49}{space 3}0.988{col 57}{space 4}-1759.307{col 70}{space 3} 1732.015
{txt}{space 10}1902  {c |}{col 17}{res}{space 2}  1.04202{col 29}{space 2} 1.505743{col 40}{space 1}    0.69{col 49}{space 3}0.489{col 57}{space 4}-1.909182{col 70}{space 3} 3.993222
{txt}{space 10}1903  {c |}{col 17}{res}{space 2} .3302891{col 29}{space 2} 1.477439{col 40}{space 1}    0.22{col 49}{space 3}0.823{col 57}{space 4}-2.565438{col 70}{space 3} 3.226016
{txt}{space 10}1904  {c |}{col 17}{res}{space 2} -.117501{col 29}{space 2}   1.4673{col 40}{space 1}   -0.08{col 49}{space 3}0.936{col 57}{space 4}-2.993357{col 70}{space 3} 2.758355
{txt}{space 10}1905  {c |}{col 17}{res}{space 2}  .467161{col 29}{space 2} 1.284538{col 40}{space 1}    0.36{col 49}{space 3}0.716{col 57}{space 4}-2.050486{col 70}{space 3} 2.984808
{txt}{space 10}1906  {c |}{col 17}{res}{space 2} .2889299{col 29}{space 2} 1.143839{col 40}{space 1}    0.25{col 49}{space 3}0.801{col 57}{space 4}-1.952954{col 70}{space 3} 2.530814
{txt}{space 10}1907  {c |}{col 17}{res}{space 2}-.4644696{col 29}{space 2} 1.199699{col 40}{space 1}   -0.39{col 49}{space 3}0.699{col 57}{space 4}-2.815836{col 70}{space 3} 1.886897
{txt}{space 10}1908  {c |}{col 17}{res}{space 2} .8986026{col 29}{space 2} 1.077449{col 40}{space 1}    0.83{col 49}{space 3}0.404{col 57}{space 4}-1.213159{col 70}{space 3} 3.010365
{txt}{space 10}1909  {c |}{col 17}{res}{space 2} .4579594{col 29}{space 2}  1.08822{col 40}{space 1}    0.42{col 49}{space 3}0.674{col 57}{space 4}-1.674913{col 70}{space 3} 2.590832
{txt}{space 10}1910  {c |}{col 17}{res}{space 2} .5211021{col 29}{space 2} 1.065063{col 40}{space 1}    0.49{col 49}{space 3}0.625{col 57}{space 4}-1.566383{col 70}{space 3} 2.608587
{txt}{space 10}1911  {c |}{col 17}{res}{space 2} .9338513{col 29}{space 2} 1.064992{col 40}{space 1}    0.88{col 49}{space 3}0.381{col 57}{space 4}-1.153496{col 70}{space 3} 3.021198
{txt}{space 10}1912  {c |}{col 17}{res}{space 2} .5516484{col 29}{space 2} 1.068836{col 40}{space 1}    0.52{col 49}{space 3}0.606{col 57}{space 4}-1.543232{col 70}{space 3} 2.646529
{txt}{space 10}1913  {c |}{col 17}{res}{space 2} .5211118{col 29}{space 2} 1.175735{col 40}{space 1}    0.44{col 49}{space 3}0.658{col 57}{space 4}-1.783287{col 70}{space 3}  2.82551
{txt}{space 10}1914  {c |}{col 17}{res}{space 2}  1.74541{col 29}{space 2} 1.079563{col 40}{space 1}    1.62{col 49}{space 3}0.106{col 57}{space 4}-.3704946{col 70}{space 3} 3.861314
{txt}{space 10}1915  {c |}{col 17}{res}{space 2}  2.10201{col 29}{space 2}  1.09392{col 40}{space 1}    1.92{col 49}{space 3}0.055{col 57}{space 4}-.0420343{col 70}{space 3} 4.246053
{txt}{space 10}1916  {c |}{col 17}{res}{space 2} 1.470712{col 29}{space 2} 1.107397{col 40}{space 1}    1.33{col 49}{space 3}0.184{col 57}{space 4}-.6997459{col 70}{space 3}  3.64117
{txt}{space 10}1917  {c |}{col 17}{res}{space 2} 1.081873{col 29}{space 2} 1.068136{col 40}{space 1}    1.01{col 49}{space 3}0.311{col 57}{space 4}-1.011636{col 70}{space 3} 3.175381
{txt}{space 10}1918  {c |}{col 17}{res}{space 2} 1.292445{col 29}{space 2} 1.065107{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.7951262{col 70}{space 3} 3.380016
{txt}{space 10}1919  {c |}{col 17}{res}{space 2} 1.585173{col 29}{space 2} 1.056582{col 40}{space 1}    1.50{col 49}{space 3}0.134{col 57}{space 4}-.4856887{col 70}{space 3} 3.656035
{txt}{space 10}1920  {c |}{col 17}{res}{space 2} 1.374986{col 29}{space 2} 1.055388{col 40}{space 1}    1.30{col 49}{space 3}0.193{col 57}{space 4}-.6935371{col 70}{space 3} 3.443509
{txt}{space 10}1921  {c |}{col 17}{res}{space 2} 1.336122{col 29}{space 2} 1.059813{col 40}{space 1}    1.26{col 49}{space 3}0.207{col 57}{space 4}-.7410734{col 70}{space 3} 3.413318
{txt}{space 10}1922  {c |}{col 17}{res}{space 2} 1.144445{col 29}{space 2} 1.067528{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4}-.9478714{col 70}{space 3} 3.236761
{txt}{space 10}1923  {c |}{col 17}{res}{space 2} 1.494774{col 29}{space 2} 1.065302{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4}-.5931792{col 70}{space 3} 3.582728
{txt}{space 10}1924  {c |}{col 17}{res}{space 2}  1.08442{col 29}{space 2} 1.068499{col 40}{space 1}    1.01{col 49}{space 3}0.310{col 57}{space 4}  -1.0098{col 70}{space 3} 3.178641
{txt}{space 10}1925  {c |}{col 17}{res}{space 2} 1.322966{col 29}{space 2} 1.076172{col 40}{space 1}    1.23{col 49}{space 3}0.219{col 57}{space 4}-.7862921{col 70}{space 3} 3.432223
{txt}{space 10}1926  {c |}{col 17}{res}{space 2} .5574052{col 29}{space 2}  1.17887{col 40}{space 1}    0.47{col 49}{space 3}0.636{col 57}{space 4}-1.753138{col 70}{space 3} 2.867948
{txt}{space 10}1927  {c |}{col 17}{res}{space 2}-11.77798{col 29}{space 2}  1261.51{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4}-2484.291{col 70}{space 3} 2460.736
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 2.237936{col 29}{space 2} 1.065203{col 57}{space 4} .1501754{col 70}{space 3} 4.325696
{txt}          /cut2 {c |}{col 17}{res}{space 2} 2.312746{col 29}{space 2} 1.065263{col 57}{space 4} .2248695{col 70}{space 3} 4.400622
{txt}          /cut3 {c |}{col 17}{res}{space 2}  2.33204{col 29}{space 2} 1.065278{col 57}{space 4}  .244133{col 70}{space 3} 4.419947
{txt}          /cut4 {c |}{col 17}{res}{space 2}   2.3369{col 29}{space 2} 1.065282{col 57}{space 4} .2489859{col 70}{space 3} 4.424815
{txt}          /cut5 {c |}{col 17}{res}{space 2} 2.434856{col 29}{space 2}  1.06536{col 57}{space 4} .3467894{col 70}{space 3} 4.522923
{txt}          /cut6 {c |}{col 17}{res}{space 2} 2.442655{col 29}{space 2} 1.065366{col 57}{space 4} .3545765{col 70}{space 3} 4.530733
{txt}          /cut7 {c |}{col 17}{res}{space 2} 2.509241{col 29}{space 2} 1.065419{col 57}{space 4} .4210585{col 70}{space 3} 4.597423
{txt}          /cut8 {c |}{col 17}{res}{space 2} 4.313731{col 29}{space 2} 1.070037{col 57}{space 4} 2.216498{col 70}{space 3} 6.410964
{txt}          /cut9 {c |}{col 17}{res}{space 2} 4.741829{col 29}{space 2} 1.073004{col 57}{space 4}  2.63878{col 70}{space 3} 6.844878
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 29 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. ***Company fixed effects***

. logit punished monthshy catholic class hum_cap urban i.company_id i.year

{txt}note: 32.company_id != 0 predicts failure perfectly
      32.company_id dropped and 5 obs not used

note: 1901.year != 0 predicts failure perfectly
      1901.year dropped and 16 obs not used

note: 1927.year != 0 predicts failure perfectly
      1927.year dropped and 7 obs not used

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-1567.4606}  
Iteration 1:{space 3}log likelihood = {res:-1487.5124}  
Iteration 2:{space 3}log likelihood = {res:-1480.6594}  
Iteration 3:{space 3}log likelihood = {res:-1480.5861}  
Iteration 4:{space 3}log likelihood = {res: -1480.586}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,598
{txt}{col 49}LR chi2({res}65{txt}){col 67}= {res}    173.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -1480.586{txt}{col 49}Pseudo R2{col 67}= {res}    0.0554

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}    punished{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2}-.0046564{col 26}{space 2} .0018862{col 37}{space 1}   -2.47{col 46}{space 3}0.014{col 54}{space 4}-.0083533{col 67}{space 3}-.0009595
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-.0573556{col 26}{space 2} .0961208{col 37}{space 1}   -0.60{col 46}{space 3}0.551{col 54}{space 4}-.2457489{col 67}{space 3} .1310377
{txt}{space 7}class {c |}{col 14}{res}{space 2}-.1063953{col 26}{space 2} .0711292{col 37}{space 1}   -1.50{col 46}{space 3}0.135{col 54}{space 4}-.2458061{col 67}{space 3} .0330154
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-.0818061{col 26}{space 2} .0607286{col 37}{space 1}   -1.35{col 46}{space 3}0.178{col 54}{space 4} -.200832{col 67}{space 3} .0372197
{txt}{space 7}urban {c |}{col 14}{res}{space 2} .5219848{col 26}{space 2} .1191619{col 37}{space 1}    4.38{col 46}{space 3}0.000{col 54}{space 4} .2884317{col 67}{space 3} .7555379
{txt}{space 12} {c |}
{space 2}company_id {c |}
{space 10}2  {c |}{col 14}{res}{space 2} 1.094684{col 26}{space 2} .4187265{col 37}{space 1}    2.61{col 46}{space 3}0.009{col 54}{space 4} .2739948{col 67}{space 3} 1.915373
{txt}{space 10}3  {c |}{col 14}{res}{space 2} .5851652{col 26}{space 2} .4247784{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.2473851{col 67}{space 3} 1.417716
{txt}{space 10}4  {c |}{col 14}{res}{space 2} .7060057{col 26}{space 2} .4999142{col 37}{space 1}    1.41{col 46}{space 3}0.158{col 54}{space 4}-.2738081{col 67}{space 3} 1.685819
{txt}{space 10}7  {c |}{col 14}{res}{space 2} 1.092086{col 26}{space 2} .8973757{col 37}{space 1}    1.22{col 46}{space 3}0.224{col 54}{space 4}-.6667381{col 67}{space 3}  2.85091
{txt}{space 10}9  {c |}{col 14}{res}{space 2} .7420303{col 26}{space 2} .4594127{col 37}{space 1}    1.62{col 46}{space 3}0.106{col 54}{space 4}-.1584021{col 67}{space 3} 1.642463
{txt}{space 9}10  {c |}{col 14}{res}{space 2} .5055268{col 26}{space 2} .4635587{col 37}{space 1}    1.09{col 46}{space 3}0.275{col 54}{space 4}-.4030315{col 67}{space 3} 1.414085
{txt}{space 9}11  {c |}{col 14}{res}{space 2} .5128554{col 26}{space 2} .4564654{col 37}{space 1}    1.12{col 46}{space 3}0.261{col 54}{space 4}-.3818004{col 67}{space 3} 1.407511
{txt}{space 9}12  {c |}{col 14}{res}{space 2} .9767782{col 26}{space 2} .4469372{col 37}{space 1}    2.19{col 46}{space 3}0.029{col 54}{space 4} .1007972{col 67}{space 3} 1.852759
{txt}{space 9}13  {c |}{col 14}{res}{space 2} .6245963{col 26}{space 2} .5019105{col 37}{space 1}    1.24{col 46}{space 3}0.213{col 54}{space 4}-.3591302{col 67}{space 3} 1.608323
{txt}{space 9}14  {c |}{col 14}{res}{space 2} .5701981{col 26}{space 2} .4925194{col 37}{space 1}    1.16{col 46}{space 3}0.247{col 54}{space 4}-.3951222{col 67}{space 3} 1.535518
{txt}{space 9}15  {c |}{col 14}{res}{space 2}  .455815{col 26}{space 2} .4547446{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4} -.435468{col 67}{space 3} 1.347098
{txt}{space 9}16  {c |}{col 14}{res}{space 2} .3887334{col 26}{space 2} .4479658{col 37}{space 1}    0.87{col 46}{space 3}0.386{col 54}{space 4}-.4892635{col 67}{space 3}  1.26673
{txt}{space 9}19  {c |}{col 14}{res}{space 2} .5187189{col 26}{space 2} .4470505{col 37}{space 1}    1.16{col 46}{space 3}0.246{col 54}{space 4}-.3574841{col 67}{space 3} 1.394922
{txt}{space 9}20  {c |}{col 14}{res}{space 2}  .165886{col 26}{space 2} .4404577{col 37}{space 1}    0.38{col 46}{space 3}0.706{col 54}{space 4}-.6973953{col 67}{space 3} 1.029167
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{space 12} {c |}
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{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. ologit worstpunishment hj catholic class hum_cap urban i.company_id i.year

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-2223.4521}  
Iteration 1:{space 3}log likelihood = {res: -2138.353}  
Iteration 2:{space 3}log likelihood = {res:-2127.9224}  
Iteration 3:{space 3}log likelihood = {res:-2127.3872}  
Iteration 4:{space 3}log likelihood = {res:-2127.2819}  
Iteration 5:{space 3}log likelihood = {res: -2127.259}  
Iteration 6:{space 3}log likelihood = {res:-2127.2544}  
Iteration 7:{space 3}log likelihood = {res:-2127.2533}  
Iteration 8:{space 3}log likelihood = {res:-2127.2531}  
Iteration 9:{space 3}log likelihood = {res: -2127.253}  
Iteration 10:{space 2}log likelihood = {res: -2127.253}  
{res}
{txt}Ordered logistic regression{col 49}Number of obs{col 67}= {res}     3,647
{txt}{col 49}LR chi2({res}68{txt}){col 67}= {res}    192.40
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log likelihood = {res} -2127.253{txt}{col 49}Pseudo R2{col 67}= {res}    0.0433

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}worstpunishment{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 13}hj {c |}{col 17}{res}{space 2}-.3945992{col 29}{space 2} .1232738{col 40}{space 1}   -3.20{col 49}{space 3}0.001{col 57}{space 4}-.6362114{col 70}{space 3} -.152987
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{txt}{space 15} {c |}
{space 5}company_id {c |}
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{txt}{space 15} {c |}
{space 11}year {c |}
{space 10}1901  {c |}{col 17}{res}{space 2}-13.49145{col 29}{space 2}  887.091{col 40}{space 1}   -0.02{col 49}{space 3}0.988{col 57}{space 4}-1752.158{col 70}{space 3} 1725.175
{txt}{space 10}1902  {c |}{col 17}{res}{space 2} 1.004445{col 29}{space 2} 1.512492{col 40}{space 1}    0.66{col 49}{space 3}0.507{col 57}{space 4}-1.959986{col 70}{space 3} 3.968875
{txt}{space 10}1903  {c |}{col 17}{res}{space 2} .3577636{col 29}{space 2}  1.49218{col 40}{space 1}    0.24{col 49}{space 3}0.811{col 57}{space 4}-2.566856{col 70}{space 3} 3.282383
{txt}{space 10}1904  {c |}{col 17}{res}{space 2}-.0761681{col 29}{space 2} 1.480522{col 40}{space 1}   -0.05{col 49}{space 3}0.959{col 57}{space 4}-2.977938{col 70}{space 3} 2.825602
{txt}{space 10}1905  {c |}{col 17}{res}{space 2} .4932505{col 29}{space 2} 1.289448{col 40}{space 1}    0.38{col 49}{space 3}0.702{col 57}{space 4} -2.03402{col 70}{space 3} 3.020521
{txt}{space 10}1906  {c |}{col 17}{res}{space 2} .3202354{col 29}{space 2} 1.150909{col 40}{space 1}    0.28{col 49}{space 3}0.781{col 57}{space 4}-1.935505{col 70}{space 3} 2.575976
{txt}{space 10}1907  {c |}{col 17}{res}{space 2}-.5132532{col 29}{space 2} 1.207981{col 40}{space 1}   -0.42{col 49}{space 3}0.671{col 57}{space 4}-2.880853{col 70}{space 3} 1.854346
{txt}{space 10}1908  {c |}{col 17}{res}{space 2} .9109661{col 29}{space 2} 1.087549{col 40}{space 1}    0.84{col 49}{space 3}0.402{col 57}{space 4} -1.22059{col 70}{space 3} 3.042522
{txt}{space 10}1909  {c |}{col 17}{res}{space 2} .4863411{col 29}{space 2} 1.099167{col 40}{space 1}    0.44{col 49}{space 3}0.658{col 57}{space 4}-1.667986{col 70}{space 3} 2.640668
{txt}{space 10}1910  {c |}{col 17}{res}{space 2} .5139007{col 29}{space 2} 1.075021{col 40}{space 1}    0.48{col 49}{space 3}0.633{col 57}{space 4}-1.593101{col 70}{space 3} 2.620903
{txt}{space 10}1911  {c |}{col 17}{res}{space 2} .9076012{col 29}{space 2} 1.076792{col 40}{space 1}    0.84{col 49}{space 3}0.399{col 57}{space 4}-1.202873{col 70}{space 3} 3.018075
{txt}{space 10}1912  {c |}{col 17}{res}{space 2} .5236793{col 29}{space 2} 1.079658{col 40}{space 1}    0.49{col 49}{space 3}0.628{col 57}{space 4}-1.592411{col 70}{space 3} 2.639769
{txt}{space 10}1913  {c |}{col 17}{res}{space 2} .6374293{col 29}{space 2} 1.186214{col 40}{space 1}    0.54{col 49}{space 3}0.591{col 57}{space 4}-1.687507{col 70}{space 3} 2.962366
{txt}{space 10}1914  {c |}{col 17}{res}{space 2} 1.751432{col 29}{space 2} 1.091813{col 40}{space 1}    1.60{col 49}{space 3}0.109{col 57}{space 4}-.3884817{col 70}{space 3} 3.891345
{txt}{space 10}1915  {c |}{col 17}{res}{space 2} 2.115155{col 29}{space 2}  1.10583{col 40}{space 1}    1.91{col 49}{space 3}0.056{col 57}{space 4}-.0522318{col 70}{space 3} 4.282543
{txt}{space 10}1916  {c |}{col 17}{res}{space 2} 1.435692{col 29}{space 2} 1.120364{col 40}{space 1}    1.28{col 49}{space 3}0.200{col 57}{space 4}-.7601807{col 70}{space 3} 3.631564
{txt}{space 10}1917  {c |}{col 17}{res}{space 2} 1.058398{col 29}{space 2} 1.080413{col 40}{space 1}    0.98{col 49}{space 3}0.327{col 57}{space 4}-1.059172{col 70}{space 3} 3.175968
{txt}{space 10}1918  {c |}{col 17}{res}{space 2} 1.263949{col 29}{space 2} 1.076849{col 40}{space 1}    1.17{col 49}{space 3}0.240{col 57}{space 4}-.8466368{col 70}{space 3} 3.374534
{txt}{space 10}1919  {c |}{col 17}{res}{space 2} 1.557444{col 29}{space 2} 1.068148{col 40}{space 1}    1.46{col 49}{space 3}0.145{col 57}{space 4}-.5360871{col 70}{space 3} 3.650975
{txt}{space 10}1920  {c |}{col 17}{res}{space 2} 1.299608{col 29}{space 2} 1.067153{col 40}{space 1}    1.22{col 49}{space 3}0.223{col 57}{space 4}-.7919729{col 70}{space 3}  3.39119
{txt}{space 10}1921  {c |}{col 17}{res}{space 2} 1.310106{col 29}{space 2} 1.071253{col 40}{space 1}    1.22{col 49}{space 3}0.221{col 57}{space 4}-.7895111{col 70}{space 3} 3.409724
{txt}{space 10}1922  {c |}{col 17}{res}{space 2} 1.118145{col 29}{space 2} 1.079418{col 40}{space 1}    1.04{col 49}{space 3}0.300{col 57}{space 4}-.9974759{col 70}{space 3} 3.233767
{txt}{space 10}1923  {c |}{col 17}{res}{space 2} 1.454929{col 29}{space 2} 1.077742{col 40}{space 1}    1.35{col 49}{space 3}0.177{col 57}{space 4}-.6574068{col 70}{space 3} 3.567265
{txt}{space 10}1924  {c |}{col 17}{res}{space 2} 1.032577{col 29}{space 2} 1.081431{col 40}{space 1}    0.95{col 49}{space 3}0.340{col 57}{space 4} -1.08699{col 70}{space 3} 3.152143
{txt}{space 10}1925  {c |}{col 17}{res}{space 2} 1.319878{col 29}{space 2} 1.088818{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.8141664{col 70}{space 3} 3.453923
{txt}{space 10}1926  {c |}{col 17}{res}{space 2} .4289252{col 29}{space 2} 1.191669{col 40}{space 1}    0.36{col 49}{space 3}0.719{col 57}{space 4}-1.906702{col 70}{space 3} 2.764553
{txt}{space 10}1927  {c |}{col 17}{res}{space 2}-11.80108{col 29}{space 2} 1261.492{col 40}{space 1}   -0.01{col 49}{space 3}0.993{col 57}{space 4} -2484.28{col 70}{space 3} 2460.678
{txt}{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
          /cut1 {c |}{col 17}{res}{space 2} 2.855403{col 29}{space 2} 1.124829{col 57}{space 4} .6507785{col 70}{space 3} 5.060027
{txt}          /cut2 {c |}{col 17}{res}{space 2} 2.930618{col 29}{space 2} 1.124894{col 57}{space 4}  .725866{col 70}{space 3}  5.13537
{txt}          /cut3 {c |}{col 17}{res}{space 2} 2.950009{col 29}{space 2} 1.124911{col 57}{space 4} .7452241{col 70}{space 3} 5.154795
{txt}          /cut4 {c |}{col 17}{res}{space 2} 2.954896{col 29}{space 2} 1.124915{col 57}{space 4} .7501019{col 70}{space 3} 5.159689
{txt}          /cut5 {c |}{col 17}{res}{space 2} 3.053381{col 29}{space 2}    1.125{col 57}{space 4} .8484206{col 70}{space 3} 5.258341
{txt}          /cut6 {c |}{col 17}{res}{space 2} 3.061224{col 29}{space 2} 1.125007{col 57}{space 4}   .85625{col 70}{space 3} 5.266197
{txt}          /cut7 {c |}{col 17}{res}{space 2} 3.128161{col 29}{space 2} 1.125066{col 57}{space 4} .9230726{col 70}{space 3}  5.33325
{txt}          /cut8 {c |}{col 17}{res}{space 2}  4.93802{col 29}{space 2} 1.129608{col 57}{space 4} 2.724029{col 70}{space 3} 7.152011
{txt}          /cut9 {c |}{col 17}{res}{space 2} 5.366633{col 29}{space 2} 1.132439{col 57}{space 4} 3.147094{col 70}{space 3} 7.586172
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 2}Note: 29 observations completely determined.{txt}  Standard errors questionable.{p_end}

{com}. ***time to first promotion?***

. reg timetofirstpromotion monthshy catholic class hum_cap urban combattant mths_east i.year

{txt}      Source {c |}       SS           df       MS      Number of obs   ={res}     1,810
{txt}{hline 13}{c +}{hline 34}   F(32, 1777)     = {res}     4.50
{txt}       Model {c |} {res} 10191685.6        32  318490.174   {txt}Prob > F        ={res}    0.0000
{txt}    Residual {c |} {res}  125676868     1,777  70724.1803   {txt}R-squared       ={res}    0.0750
{txt}{hline 13}{c +}{hline 34}   Adj R-squared   ={res}    0.0584
{txt}       Total {c |} {res}  135868554     1,809   75106.995   {txt}Root MSE        =   {res} 265.94

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 1}timetofirs~n{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      t{col 46}   P>|t|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 4}monthshy {c |}{col 14}{res}{space 2} -.011351{col 26}{space 2} .2952449{col 37}{space 1}   -0.04{col 46}{space 3}0.969{col 54}{space 4}-.5904147{col 67}{space 3} .5677127
{txt}{space 4}catholic {c |}{col 14}{res}{space 2}-23.72938{col 26}{space 2} 12.67054{col 37}{space 1}   -1.87{col 46}{space 3}0.061{col 54}{space 4} -48.5801{col 67}{space 3} 1.121344
{txt}{space 7}class {c |}{col 14}{res}{space 2} 11.74906{col 26}{space 2} 8.733126{col 37}{space 1}    1.35{col 46}{space 3}0.179{col 54}{space 4}-5.379223{col 67}{space 3} 28.87733
{txt}{space 5}hum_cap {c |}{col 14}{res}{space 2}-8.276397{col 26}{space 2} 7.051713{col 37}{space 1}   -1.17{col 46}{space 3}0.241{col 54}{space 4}-22.10692{col 67}{space 3} 5.554126
{txt}{space 7}urban {c |}{col 14}{res}{space 2} -5.89971{col 26}{space 2} 17.45147{col 37}{space 1}   -0.34{col 46}{space 3}0.735{col 54}{space 4}-40.12727{col 67}{space 3} 28.32785
{txt}{space 2}combattant {c |}{col 14}{res}{space 2} 8.065961{col 26}{space 2} 15.62921{col 37}{space 1}    0.52{col 46}{space 3}0.606{col 54}{space 4} -22.5876{col 67}{space 3} 38.71952
{txt}{space 3}mths_east {c |}{col 14}{res}{space 2} .3139378{col 26}{space 2} .5737928{col 37}{space 1}    0.55{col 46}{space 3}0.584{col 54}{space 4}-.8114419{col 67}{space 3} 1.439317
{txt}{space 12} {c |}
{space 8}year {c |}
{space 7}1901  {c |}{col 14}{res}{space 2} 7.954993{col 26}{space 2} 134.2504{col 37}{space 1}    0.06{col 46}{space 3}0.953{col 54}{space 4}-255.3502{col 67}{space 3} 271.2602
{txt}{space 7}1903  {c |}{col 14}{res}{space 2} 118.2518{col 26}{space 2} 160.1776{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-195.9046{col 67}{space 3} 432.4081
{txt}{space 7}1904  {c |}{col 14}{res}{space 2} 4.392973{col 26}{space 2} 134.1427{col 37}{space 1}    0.03{col 46}{space 3}0.974{col 54}{space 4}-258.7011{col 67}{space 3}  267.487
{txt}{space 7}1905  {c |}{col 14}{res}{space 2} 95.66617{col 26}{space 2} 140.4856{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-179.8683{col 67}{space 3} 371.2006
{txt}{space 7}1906  {c |}{col 14}{res}{space 2} -8.34994{col 26}{space 2} 106.1239{col 37}{space 1}   -0.08{col 46}{space 3}0.937{col 54}{space 4}-216.4907{col 67}{space 3} 199.7908
{txt}{space 7}1907  {c |}{col 14}{res}{space 2}  79.8065{col 26}{space 2} 104.1243{col 37}{space 1}    0.77{col 46}{space 3}0.444{col 54}{space 4}-124.4124{col 67}{space 3} 284.0254
{txt}{space 7}1908  {c |}{col 14}{res}{space 2} 44.10245{col 26}{space 2} 94.91341{col 37}{space 1}    0.46{col 46}{space 3}0.642{col 54}{space 4}-142.0512{col 67}{space 3} 230.2561
{txt}{space 7}1909  {c |}{col 14}{res}{space 2}   12.129{col 26}{space 2} 96.18188{col 37}{space 1}    0.13{col 46}{space 3}0.900{col 54}{space 4}-176.5125{col 67}{space 3} 200.7705
{txt}{space 7}1910  {c |}{col 14}{res}{space 2} 105.0335{col 26}{space 2} 91.71605{col 37}{space 1}    1.15{col 46}{space 3}0.252{col 54}{space 4}-74.84923{col 67}{space 3} 284.9161
{txt}{space 7}1911  {c |}{col 14}{res}{space 2} 86.93427{col 26}{space 2} 92.59885{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-94.67984{col 67}{space 3} 268.5484
{txt}{space 7}1912  {c |}{col 14}{res}{space 2} 26.45535{col 26}{space 2} 92.20213{col 37}{space 1}    0.29{col 46}{space 3}0.774{col 54}{space 4}-154.3807{col 67}{space 3} 207.2914
{txt}{space 7}1913  {c |}{col 14}{res}{space 2} 276.8469{col 26}{space 2} 103.7535{col 37}{space 1}    2.67{col 46}{space 3}0.008{col 54}{space 4} 73.35524{col 67}{space 3} 480.3385
{txt}{space 7}1914  {c |}{col 14}{res}{space 2} 293.8196{col 26}{space 2} 96.15351{col 37}{space 1}    3.06{col 46}{space 3}0.002{col 54}{space 4} 105.2337{col 67}{space 3} 482.4055
{txt}{space 7}1915  {c |}{col 14}{res}{space 2} 203.7617{col 26}{space 2} 101.6229{col 37}{space 1}    2.01{col 46}{space 3}0.045{col 54}{space 4} 4.448665{col 67}{space 3} 403.0748
{txt}{space 7}1916  {c |}{col 14}{res}{space 2}  42.6813{col 26}{space 2}  99.3726{col 37}{space 1}    0.43{col 46}{space 3}0.668{col 54}{space 4}-152.2182{col 67}{space 3} 237.5808
{txt}{space 7}1917  {c |}{col 14}{res}{space 2}-11.60767{col 26}{space 2} 91.92778{col 37}{space 1}   -0.13{col 46}{space 3}0.900{col 54}{space 4}-191.9056{col 67}{space 3} 168.6903
{txt}{space 7}1918  {c |}{col 14}{res}{space 2} 68.26575{col 26}{space 2} 92.32615{col 37}{space 1}    0.74{col 46}{space 3}0.460{col 54}{space 4}-112.8135{col 67}{space 3}  249.345
{txt}{space 7}1919  {c |}{col 14}{res}{space 2} 51.07452{col 26}{space 2} 91.37807{col 37}{space 1}    0.56{col 46}{space 3}0.576{col 54}{space 4}-128.1453{col 67}{space 3} 230.2943
{txt}{space 7}1920  {c |}{col 14}{res}{space 2} 62.07093{col 26}{space 2}   91.073{col 37}{space 1}    0.68{col 46}{space 3}0.496{col 54}{space 4}-116.5505{col 67}{space 3} 240.6924
{txt}{space 7}1921  {c |}{col 14}{res}{space 2} 26.19176{col 26}{space 2} 92.57515{col 37}{space 1}    0.28{col 46}{space 3}0.777{col 54}{space 4}-155.3759{col 67}{space 3} 207.7594
{txt}{space 7}1922  {c |}{col 14}{res}{space 2}-.9620178{col 26}{space 2} 94.39022{col 37}{space 1}   -0.01{col 46}{space 3}0.992{col 54}{space 4}-186.0895{col 67}{space 3} 184.1655
{txt}{space 7}1923  {c |}{col 14}{res}{space 2}-48.72089{col 26}{space 2} 94.98547{col 37}{space 1}   -0.51{col 46}{space 3}0.608{col 54}{space 4}-235.0159{col 67}{space 3} 137.5741
{txt}{space 7}1924  {c |}{col 14}{res}{space 2}-114.5755{col 26}{space 2} 99.89498{col 37}{space 1}   -1.15{col 46}{space 3}0.252{col 54}{space 4}-310.4995{col 67}{space 3} 81.34851
{txt}{space 7}1925  {c |}{col 14}{res}{space 2}-106.3343{col 26}{space 2} 119.3657{col 37}{space 1}   -0.89{col 46}{space 3}0.373{col 54}{space 4}-340.4463{col 67}{space 3} 127.7777
{txt}{space 7}1926  {c |}{col 14}{res}{space 2}-213.1717{col 26}{space 2}  163.403{col 37}{space 1}   -1.30{col 46}{space 3}0.192{col 54}{space 4}-533.6539{col 67}{space 3} 107.3105
{txt}{space 12} {c |}
{space 7}_cons {c |}{col 14}{res}{space 2} 272.2645{col 26}{space 2} 95.05111{col 37}{space 1}    2.86{col 46}{space 3}0.004{col 54}{space 4} 85.84075{col 67}{space 3} 458.6882
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}
{com}. ***No significant effect***

. log close
      {txt}name:  {res}<unnamed>
       {txt}log:  {res}U:\u5390570\Hitler Youth Project\Main Data Analysis\Analysis for Rationality and Society R and R.smcl
  {txt}log type:  {res}smcl
 {txt}closed on:  {res} 8 Nov 2017, 09:07:16
{txt}{.-}
{smcl}
{txt}{sf}{ul off}